Literature DB >> 22190711

A measure of explained risk in the proportional hazards model.

Glenn Heller1.   

Abstract

A measure of explained risk is developed for application with the proportional hazards model. The statistic, which is called the estimated explained relative risk, has a simple analytical form and is unaffected by censoring that is independent of survival time conditional on the covariates. An asymptotic confidence interval for the limiting value of the estimated explained relative risk is derived, and the role of individual factors in the computation of its estimate is established. Simulations are performed to compare the results of the estimated explained relative risk to other known explained risk measures with censored data. Prostate cancer data are used to demonstrate an analysis incorporating the proposed approach.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22190711      PMCID: PMC3297826          DOI: 10.1093/biostatistics/kxr047

Source DB:  PubMed          Journal:  Biostatistics        ISSN: 1465-4644            Impact factor:   5.899


  9 in total

1.  Assessment and comparison of prognostic classification schemes for survival data.

Authors:  E Graf; C Schmoor; W Sauerbrei; M Schumacher
Journal:  Stat Med       Date:  1999 Sep 15-30       Impact factor: 2.373

2.  Using SAS to calculate the Kent and O'Quigley measure of dependence for Cox proportional hazards regression model.

Authors:  H Heinzl
Journal:  Comput Methods Programs Biomed       Date:  2000-08       Impact factor: 5.428

3.  Explained randomness in proportional hazards models.

Authors:  John O'Quigley; Ronghui Xu; Janez Stare
Journal:  Stat Med       Date:  2005-02-15       Impact factor: 2.373

4.  Explained variation and predictive accuracy in general parametric statistical models: the role of model misspecification.

Authors:  Susanne Rosthøj; Niels Keiding
Journal:  Lifetime Data Anal       Date:  2004-12       Impact factor: 1.588

5.  Measures of explained variation for survival data.

Authors:  E L Korn; R Simon
Journal:  Stat Med       Date:  1990-05       Impact factor: 2.373

Review 6.  Problems and prediction in survival-data analysis.

Authors:  R Henderson
Journal:  Stat Med       Date:  1995-01-30       Impact factor: 2.373

7.  Regression modelling strategies for improved prognostic prediction.

Authors:  F E Harrell; K L Lee; R M Califf; D B Pryor; R A Rosati
Journal:  Stat Med       Date:  1984 Apr-Jun       Impact factor: 2.373

8.  Circulating tumour cells as prognostic markers in progressive, castration-resistant prostate cancer: a reanalysis of IMMC38 trial data.

Authors:  Howard I Scher; Xiaoyu Jia; Johann S de Bono; Martin Fleisher; Kenneth J Pienta; Derek Raghavan; Glenn Heller
Journal:  Lancet Oncol       Date:  2009-02-11       Impact factor: 41.316

9.  A contemporary prognostic nomogram for men with hormone-refractory metastatic prostate cancer: a TAX327 study analysis.

Authors:  Andrew J Armstrong; Elizabeth S Garrett-Mayer; Yi-Chun Ou Yang; Ronald de Wit; Ian F Tannock; Mario Eisenberger
Journal:  Clin Cancer Res       Date:  2007-11-01       Impact factor: 12.531

  9 in total
  15 in total

1.  A Study of R2 Measure under the Accelerated Failure Time Models.

Authors:  Priscilla H Chan; Ronghui Xu; Christina D Chambers
Journal:  Commun Stat Simul Comput       Date:  2018-01-01       Impact factor: 1.118

2.  Frailty Screening Using the Electronic Health Record Within a Medicare Accountable Care Organization.

Authors:  Nicholas M Pajewski; Kristin Lenoir; Brian J Wells; Jeff D Williamson; Kathryn E Callahan
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-10-04       Impact factor: 6.053

3.  Development of models estimating the risk of hepatocellular carcinoma after antiviral treatment for hepatitis C.

Authors:  George N Ioannou; Pamela K Green; Lauren A Beste; Elijah J Mun; Kathleen F Kerr; Kristin Berry
Journal:  J Hepatol       Date:  2018-08-21       Impact factor: 25.083

4.  Three measures of explained variation for correlated survival data under the proportional hazards mixed-effects model.

Authors:  Gordon Honerkamp-Smith; Ronghui Xu
Journal:  Stat Med       Date:  2016-05-30       Impact factor: 2.373

5.  Prediction of new brain metastases after radiosurgery: validation and analysis of performance of a multi-institutional nomogram.

Authors:  Diandra N Ayala-Peacock; Albert Attia; Steve E Braunstein; Manmeet S Ahluwalia; Jaroslaw Hepel; Caroline Chung; Joseph Contessa; Emory McTyre; Ann M Peiffer; John T Lucas; Scott Isom; Nicholas M Pajewski; Rupesh Kotecha; Mark J Stavas; Brandi R Page; Lawrence Kleinberg; Colette Shen; Robert B Taylor; Nasarachi E Onyeuku; Andrew T Hyde; Daniel Gorovets; Samuel T Chao; Christopher Corso; Jimmy Ruiz; Kounosuke Watabe; Stephen B Tatter; Gelareh Zadeh; Veronica L S Chiang; John B Fiveash; Michael D Chan
Journal:  J Neurooncol       Date:  2017-08-21       Impact factor: 4.130

6.  Models estimating risk of hepatocellular carcinoma in patients with alcohol or NAFLD-related cirrhosis for risk stratification.

Authors:  George N Ioannou; Pamela Green; Kathleen F Kerr; Kristin Berry
Journal:  J Hepatol       Date:  2019-05-28       Impact factor: 25.083

7.  Genetic risk prediction and a 2-stage risk screening strategy for coronary heart disease.

Authors:  Emmi Tikkanen; Aki S Havulinna; Aarno Palotie; Veikko Salomaa; Samuli Ripatti
Journal:  Arterioscler Thromb Vasc Biol       Date:  2013-04-18       Impact factor: 8.311

8.  The importance of addressing multiple risk markers in type 2 diabetes: Results from the LEADER and SUSTAIN 6 trials.

Authors:  Emilie H Zobel; Bernt Johan von Scholten; Tine W Hansen; Frederik Persson; Søren Rasmussen; Benjamin Wolthers; Peter Rossing
Journal:  Diabetes Obes Metab       Date:  2021-11-05       Impact factor: 6.408

9.  A Gene Selection Method for Survival Prediction in Diffuse Large B-Cell Lymphomas Patients using 1D Discrete Wavelet Transform.

Authors:  Maryam Farhadian; Hossein Mahjub; Abbas Moghimbeigi; Jalal Poorolajal; Muharram Mansoorizadeh
Journal:  Iran J Public Health       Date:  2014-08       Impact factor: 1.429

10.  Regional Variation of Mortality in Heart Failure With Reduced and Preserved Ejection Fraction Across Asia: Outcomes in the ASIAN-HF Registry.

Authors:  Michael R MacDonald; Wan Ting Tay; Tiew-Hwa Katherine Teng; Inder Anand; Lieng Hsi Ling; Jonathan Yap; Jasper Tromp; Gurpreet S Wander; Ajay Naik; Tachapong Ngarmukos; Bambang B Siswanto; Chung-Lieh Hung; A Mark Richards; Carolyn S P Lam
Journal:  J Am Heart Assoc       Date:  2019-12-19       Impact factor: 5.501

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.